gpeppers_tcoded.pgm

functions for data representation

使用matlab语言，基于递推极大似然法，进行系统辨识(Maximum likelihood method based on recursive system identification)

Segment around prominent figure

动目标检测（MTD）领域的仿真，画出了加汉明窗之后的频率响应曲线，经调试，可以运行(Moving target detection (MTD) in the field of simulation, draw the frequency response curve after Hamming window, debugging, you can run)

处理信号的时频分析，可以得到很精确的幅值、频率、相位估计，可实现对二维数据的聚类，结合PCA的尺度不变特征变换(SIFT)算法，计算多重分形非趋势波动分析，用于建立主成分分析模型。( When processing a signal frequency analysis, You can get a very accurate amplitude, frequency, phase estimation, Can realize the two-dimensional data clustering, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculate the multifractal trend fluctuation analysis, Principal component analysis model for establishing.)

basics of matlab to start with

能够将采集到的压力波数据TXT文件读出来，并显示波形(Able to read out the pressure wavedate collected and then display)

工程中有效测量幅相转换系数方法分析,非常好，公式齐全，推理明确(Effective measurement of phase conversion coefficient method in Effective measurement of phase conversion coefficient method in engineering analysis engineering analysis, is very good, complete formula, reasoning clear )

DDS实验 matlab 与quartus 的完美结合(DDS experimental combination of matlab and quartus)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.